Planificación de requerimientos de materiales por medio de la aplicación de un algoritmo basado en enjambre de partículas
Materials requirements planning through an application based on particle swarm optimization
| dc.creator | Padron Cano, Jaime | |
| dc.creator | Coronado Hernández, Jairo Rafael | |
| dc.creator | Caicedo Torres, William | |
| dc.creator | Mercado Caruso, Nohora Nubia | |
| dc.creator | Ospino Valdiris, Fairuz Violette | |
| dc.date | 2019-01-25T13:47:05Z | |
| dc.date | 2019-01-25T13:47:05Z | |
| dc.date | 2017 | |
| dc.date.accessioned | 2023-10-03T19:03:27Z | |
| dc.date.available | 2023-10-03T19:03:27Z | |
| dc.identifier | 07981015 | |
| dc.identifier | http://hdl.handle.net/11323/2234 | |
| dc.identifier | Corporación Universidad de la Costa | |
| dc.identifier | REDICUC - Repositorio CUC | |
| dc.identifier | https://repositorio.cuc.edu.co/ | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9167215 | |
| dc.description | En este trabajo se aborda el problema de planificación de requerimiento de materiales (MRP) por medio de un algoritmo basado en enjambre de partículas. Se realizan diferentes experimentos por computadora con diferentes niveles de capacidad de producción donde el algoritmo mostró un buen desempeño. Se pueden observar que las soluciones de la adaptación del algoritmo de optimización por enjambre de partículas son mejor en un 6,31% a la presentada en la literatura estudiada. | |
| dc.description | This work approaches the Material Requirements Planning (MRP) problem through a Particle Swarm Optimization (PSO) based algorithm. Results from various computer experiments are carried out considering different production capacity levels, where the algorithm shown good performance. It can be observed that the solutions found by the algorithm surpass by 6.31% the solution presented in the reviewed literature. | |
| dc.format | application/pdf | |
| dc.language | spa | |
| dc.publisher | Espacios | |
| dc.relation | Billington, P., McMclain, J., & Thomas, J. (1983). Mathematical programming approaches to capacityconstrained MRP systems: review, formulation and problem reduction. Management Science, 29(10), 1126 – 1141. Retrieved from http://pubsonline.informs.org/doi/abs/10.1287/mnsc.29.10.1126 Florian, M., Lenstra, J., & Rinooy, K. (1980). Deterministic production planning: algorithms and complexity. Management Science, 26, 669 – 679. Han, Y., Tang, J., Kaku, I., & Mu, L. (2009). Solving uncapacitated multilevel lotsizing problems using a particle swarm optimization with flexible inertial weight. Computers and Mathematics with Applications, 57(1112), 1748–1755. doi:10.1016/j.camwa.2008.10.024 HERZER, M., MENEZES, F. M., POSSEBON, A. P., & NUNES, F. de L. (2015). Avaliação da utilização de metodologias ativas no ensino superior: estudo de caso na disciplina de gestão da produção aplicada. ESPACIOS, 37(2), E–3. Retrieved from http://www.revistaespacios.com/a16v37n02/163702e3.html Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. Neural Networks, 1995. Proceedings., IEEE International Conference on, 4, 1942–1948 vol.4. doi:10.1109/ICNN.1995.488968 MOREIRA, E., PACAGNELLA, A. C., PACÍFICO, O., & SALGADO, A. P. (2014). Contribuições do planejamento e controle da produção para a competitividade empresarial: um estudo em uma empresa do setor moveleiro. Espacios, 35(9), 5. Retrieved from http://www.revistaespacios.com/a14v35n09/14350905.html Orlicky, J. (1975). Material Requirements Planning. United States of America: McGraw –Hill. Sana, S. S., Acevedo, J., & Salas, K. (2014). A three layer supply chain model with multiple suppliers, manufacturers and retailers for multiple items. Applied Mathematics and Computation, 229, 139–150. doi:10.1016/j.amc.2013.12.006 Wajanawichakon, K., & Pitakaso, R. (2013). Solving large unconstrainted multi level lotsizing problem by a binary particle swarm optimization. International Journal of Management Science and Engineering Management. | |
| dc.rights | Atribución – No comercial – Compartir igual | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.subject | Lot-sizing | |
| dc.subject | Material requirement planning (MRP) | |
| dc.subject | Particle Swarm Optimization | |
| dc.subject | Production planning | |
| dc.subject | Algoritmo de nube de partículas | |
| dc.subject | Planificación de requerimientos de materiales (MRP) | |
| dc.subject | Lotificación | |
| dc.subject | Planeación de la producción | |
| dc.title | Planificación de requerimientos de materiales por medio de la aplicación de un algoritmo basado en enjambre de partículas | |
| dc.title | Materials requirements planning through an application based on particle swarm optimization | |
| dc.type | Artículo de revista | |
| dc.type | http://purl.org/coar/resource_type/c_6501 | |
| dc.type | Text | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | http://purl.org/redcol/resource_type/ART | |
| dc.type | info:eu-repo/semantics/acceptedVersion | |
| dc.type | http://purl.org/coar/version/c_ab4af688f83e57aa |